LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 6 of total 6

Search options

  1. Article ; Online: Knowing Your Body Best: The Role of Clinicians and Neural Data in Patient Self Perception of Illness.

    Hurley, Meghan E

    AJOB neuroscience

    2022  Volume 14, Issue 1, Page(s) 52–54

    MeSH term(s) Humans ; Drug Resistant Epilepsy ; Self Concept ; Patients
    Language English
    Publishing date 2022-12-15
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 2576262-X
    ISSN 2150-7759 ; 2150-7740
    ISSN (online) 2150-7759
    ISSN 2150-7740
    DOI 10.1080/21507740.2022.2150718
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 6886: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  2. Article ; Online: Therapeutic Artificial Intelligence: Does Agential Status Matter?

    Hurley, Meghan E / Lang, Benjamin H / Smith, Jared N

    The American journal of bioethics : AJOB

    2023  Volume 23, Issue 5, Page(s) 33–35

    MeSH term(s) Humans ; Artificial Intelligence ; Psychotherapy
    Language English
    Publishing date 2023-05-02
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 2060433-6
    ISSN 1536-0075 ; 1526-5161
    ISSN (online) 1536-0075
    ISSN 1526-5161
    DOI 10.1080/15265161.2023.2191037
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 6814: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  3. Article ; Online: Integrating Social Determinants of Health into Ethical Digital Simulations.

    Kostick-Quenet, Kristin / Rahimzadeh, Vasiliki / Anandasabapathy, Sharmila / Hurley, Meghan / Sonig, Anika / Mcguire, Amy

    The American journal of bioethics : AJOB

    2023  Volume 23, Issue 9, Page(s) 57–60

    MeSH term(s) Humans ; Social Determinants of Health
    Language English
    Publishing date 2023-08-30
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 2060433-6
    ISSN 1536-0075 ; 1526-5161
    ISSN (online) 1536-0075
    ISSN 1526-5161
    DOI 10.1080/15265161.2023.2237443
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 6814: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  4. Article: Ethical considerations for integrating multimodal computer perception and neurotechnology.

    Hurley, Meghan E / Sonig, Anika / Herrington, John / Storch, Eric A / Lázaro-Muñoz, Gabriel / Blumenthal-Barby, Jennifer / Kostick-Quenet, Kristin

    Frontiers in human neuroscience

    2024  Volume 18, Page(s) 1332451

    Abstract: Background: Artificial intelligence (AI)-based computer perception technologies (e.g., digital phenotyping and affective computing) promise to transform clinical approaches to personalized care in psychiatry and beyond by offering more objective ... ...

    Abstract Background: Artificial intelligence (AI)-based computer perception technologies (e.g., digital phenotyping and affective computing) promise to transform clinical approaches to personalized care in psychiatry and beyond by offering more objective measures of emotional states and behavior, enabling precision treatment, diagnosis, and symptom monitoring. At the same time, passive and continuous nature by which they often collect data from patients in non-clinical settings raises ethical issues related to privacy and self-determination. Little is known about how such concerns may be exacerbated by the integration of neural data, as parallel advances in computer perception, AI, and neurotechnology enable new insights into subjective states. Here, we present findings from a multi-site NCATS-funded study of ethical considerations for translating computer perception into clinical care and contextualize them within the neuroethics and neurorights literatures.
    Methods: We conducted qualitative interviews with patients (
    Results: Stakeholder groups voiced concerns related to (1) perceived invasiveness of passive and continuous data collection in private settings; (2) data protection and security and the potential for negative downstream/future impacts on patients of unintended disclosure; and (3) ethical issues related to patients' limited versus hyper awareness of passive and continuous data collection and monitoring. Clinicians and developers highlighted that these concerns may be exacerbated by the integration of neural data with other computer perception data.
    Discussion: Our findings suggest that the integration of neurotechnologies with existing computer perception technologies raises novel concerns around dignity-related and other harms (e.g., stigma, discrimination) that stem from data security threats and the growing potential for reidentification of sensitive data. Further, our findings suggest that patients' awareness and preoccupation with feeling monitored via computer sensors ranges from hypo- to hyper-awareness, with either extreme accompanied by ethical concerns (consent vs. anxiety and preoccupation). These results highlight the need for systematic research into how best to implement these technologies into clinical care in ways that reduce disruption, maximize patient benefits, and mitigate long-term risks associated with the passive collection of sensitive emotional, behavioral and neural data.
    Language English
    Publishing date 2024-02-16
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2425477-0
    ISSN 1662-5161
    ISSN 1662-5161
    DOI 10.3389/fnhum.2024.1332451
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  5. Article ; Online: Trust criteria for artificial intelligence in health: normative and epistemic considerations.

    Kostick-Quenet, Kristin / Lang, Benjamin H / Smith, Jared / Hurley, Meghan / Blumenthal-Barby, Jennifer

    Journal of medical ethics

    2023  

    Abstract: Rapid advancements in artificial intelligence and machine learning (AI/ML) in healthcare raise pressing questions about how much users should trust AI/ML systems, particularly for high stakes clinical decision-making. Ensuring that user trust is properly ...

    Abstract Rapid advancements in artificial intelligence and machine learning (AI/ML) in healthcare raise pressing questions about how much users should trust AI/ML systems, particularly for high stakes clinical decision-making. Ensuring that user trust is properly calibrated to a tool's computational capacities and limitations has both practical and ethical implications, given that overtrust or undertrust can influence over-reliance or under-reliance on algorithmic tools, with significant implications for patient safety and health outcomes. It is, thus, important to better understand how variability in trust criteria across stakeholders, settings, tools and use cases may influence approaches to using AI/ML tools in real settings. As part of a 5-year, multi-institutional Agency for Health Care Research and Quality-funded study, we identify trust criteria for a survival prediction algorithm intended to support clinical decision-making for left ventricular assist device therapy, using semistructured interviews (n=40) with patients and physicians, analysed via thematic analysis. Findings suggest that physicians and patients share similar empirical considerations for trust, which were primarily
    Language English
    Publishing date 2023-11-18
    Publishing country England
    Document type Journal Article
    ZDB-ID 194927-5
    ISSN 1473-4257 ; 0306-6800
    ISSN (online) 1473-4257
    ISSN 0306-6800
    DOI 10.1136/jme-2023-109338
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 1163: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  6. Article ; Online: Adolescent OCD Patient and Caregiver Perspectives on Identity, Authenticity, and Normalcy in Potential Deep Brain Stimulation Treatment.

    Smith, Jared N / Dorfman, Natalie / Hurley, Meghan / Cenolli, Ilona / Kostick-Quenet, Kristin / Storch, Eric A / Lázaro-Muñoz, Gabriel / Blumenthal-Barby, Jennifer

    Cambridge quarterly of healthcare ethics : CQ : the international journal of healthcare ethics committees

    2024  , Page(s) 1–14

    Abstract: The ongoing debate within neuroethics concerning the degree to which neuromodulation such as deep brain stimulation (DBS) changes the personality, identity, and agency (PIA) of patients has paid relatively little attention to the perspectives of ... ...

    Abstract The ongoing debate within neuroethics concerning the degree to which neuromodulation such as deep brain stimulation (DBS) changes the personality, identity, and agency (PIA) of patients has paid relatively little attention to the perspectives of prospective patients. Even less attention has been given to pediatric populations. To understand patients' views about identity changes due to DBS in obsessive-compulsive disorder (OCD), the authors conducted and analyzed semistructured interviews with adolescent patients with OCD and their parents/caregivers. Patients were asked about projected impacts to PIA generally due to DBS. All patient respondents and half of caregivers reported that DBS would impact patient self-identity in significant ways. For example, many patients expressed how DBS could positively impact identity by allowing them to explore their identities free from OCD. Others voiced concerns that DBS-related resolution of OCD might negatively impact patient agency and authenticity. Half of patients expressed that DBS may positively facilitate social access through relieving symptoms, while half indicated that DBS could increase social stigma. These views give insights into how to approach decision-making and informed consent if DBS for OCD becomes available for adolescents. They also offer insights into adolescent experiences of disability identity and "normalcy" in the context of OCD.
    Language English
    Publishing date 2024-04-11
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1146581-5
    ISSN 1469-2147 ; 0963-1801
    ISSN (online) 1469-2147
    ISSN 0963-1801
    DOI 10.1017/S0963180124000203
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 3650: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

To top